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DBMS > Hyprcubd vs. MaxDB vs. Spark SQL vs. TimesTen

System Properties Comparison Hyprcubd vs. MaxDB vs. Spark SQL vs. TimesTen

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonSpark SQL  Xexclude from comparisonTimesTen  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSA robust and reliable RDBMS optimized to run all major SAP solutionsSpark SQL is a component on top of 'Spark Core' for structured data processingIn-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitehyprcubd.com (offline)maxdb.sap.comspark.apache.org/­sqlwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationmaxdb.sap.com/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperHyprcubd, Inc.SAP, acquired from Software AG (Adabas-D) in 1997Apache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release198420141998
Current release7.9.10.12, February 20243.5.0 ( 2.13), September 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freeOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Scala
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like DML and DDL statementsyes
APIs and other access methodsgRPC (https)ADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
C#
Java
Perl
PHP
Python
Java
Python
R
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoyesnoPL/SQL
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controltoken accessfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
HyprcubdMaxDB infoformerly named Adabas-DSpark SQLTimesTen
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